Overview

QEval is a contact-center performance platform for teams that want to score human agents, AI agents, and hybrid interactions together. It suits operations that need quality evaluation alongside live agent support, coaching, and compliance checks. Its breadth is appealing, but custom pricing makes it a sales-led choice rather than a straightforward purchase.

Key features

QEval evaluates calls and digital interactions across voice, chat, email, and SMS, and can also take in records such as tickets, CRM data, surveys, agent notes, and AI-agent transcripts. Scoring spans human agents, voice bots, chat copilots, AI agents, and IVR flows, giving teams a way to apply a shared scorecard across human and automated work.

Real-time agent assist can bring up compliance prompts, de-escalation scripts, next-best actions, and knowledge-base articles during calls. That makes QEval more than a post-contact quality tool, though teams focused only on retrospective analytics may not need the live-assistance layer. Other capabilities include speech analytics, screen-capture review, CSAT intelligence, business intelligence, gamification, case-notes analysis, coaching, and compliance monitoring.

QEval says its proprietary Mixture-of-Experts scoring architecture carries a contractual commitment to at least 94% classification accuracy and does not call third-party foundation models in the scoring path. Named Entity Recognition removes PII and PHI before model processing. The security program lists SOC 2 Type II, ISO 27001:2022, ISO 42001, PCI DSS Level 1, HIPAA, GDPR, CCPA, and NIST 800-53 alignment; stored data is encrypted with AES-256, data in transit with TLS 1.2 or higher, and customer data is logically isolated. US data residency is available.

Integration coverage is a practical strength: QEval says it offers more than 80 pre-built connectors and supports REST API, webhooks, SFTP, Amazon S3, and Azure Blob Storage. These are included without per-connector fees on every plan. It also says it can transcribe and translate in more than 35 languages. Deployment is described as a 30-day window, with custom connections scoped during onboarding.

Pricing

QEval is paid, with custom pricing quoted per deployment. The investment is sized to the customer’s plan and handled through the sales team; there is no published price or cheaper self-serve tier to compare. Integrations are included without per-connector fees, which helps avoid connector-by-connector charges, but buyers still need a deployment quote to judge the total cost.

QEval states a 60-day exit clause without penalty. That commitment may reduce the risk of a longer engagement, while the sales-led pricing process is a poor fit for teams that need to assess cost before speaking with a vendor.

Platforms

QEval supports web access and an API. That combination suits contact centers connecting evaluation workflows to other systems, though teams looking for a listed desktop or self-hosted option may prefer to compare alternatives.

Who it's for

QEval is best suited to contact centers handling several interaction channels and a mix of human and AI service. Its shared scoring approach, live prompts, coaching tools, and broad integration methods are most relevant to operations teams standardizing quality and compliance across those workflows. Smaller teams seeking a simple, publicly priced tool may find the quote-based purchase process harder to evaluate.

Pros and cons

Pros: Scores human and AI agents on the same platform, across voice and digital channels, supporting consistent evaluation of hybrid operations.
Pros: More than 80 pre-built connectors and five exchange methods are included without per-connector fees, reducing integration cost uncertainty.
Pros: Real-time prompts, coaching, compliance monitoring, and analytics cover both live interactions and post-contact improvement.
Pros: Contractual 94%+ accuracy, a 30-day deployment commitment, and a 60-day exit clause give buyers concrete commitments.
Cons: Custom pricing requires a sales quote, so teams cannot quickly compare a published rate or start with a lower-cost tier.
Cons: The 30-day deployment window and custom connection scoping make implementation a planned project rather than an immediate setup.

Alternatives

Consider CallMiner Eureka if pricing tied to user count or interaction volume, analytics modules, integrations, and deployment model better matches how your contact center needs to scope a purchase.

AmplifAI Quality Assurance is another paid option, with API, self-hosted, and web platforms. Feelingstream is a paid option spanning API, macOS, self-hosted, web, and Windows.

EvaluAgent may suit teams looking for automated QA scoring on all conversations, custom scorecards, coaching workflows, and performance dashboards. Observe.AI Conversation Intelligence uses custom enterprise pricing based on deployment scope, AI agents deployed, conversation volume, and channels covered.

Verint Speech Analytics is a paid option with web and self-hosted platforms and custom pricing based on business needs. Balto QA is another paid choice; its custom plan may include monthly per-seat fees specified in an order form. Level AI Contact Center Analytics offers API and web platforms, with pricing handled through a demo.

Browse Call Center Speech Analytics Software or Speech Analytics Software for more options.

Verdict

Choose QEval if your contact center needs one evaluation and coaching platform for human agents, AI agents, and multiple interaction channels, with included integrations and explicit contractual commitments. Look elsewhere if public pricing or a quick self-serve buying path matters more than that operational breadth.

	inSpeech	QEval
Free plan	No	No
Free trial	No	No
Paid from	—	—
Open source	No	No
Platforms	Web	api, Web
Free plan	No	—
Live call analysis	Yes	—
Sentiment analysis	Yes	Yes
Supported languages	20 languages	—
Compliance monitoring	—	Yes

inSpeech vs QEval

inSpeech

QEval